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Change-Id: Iba98d20a7d80fa35a93269d19b68e2f2eaaee712
2.6 KiB
2.6 KiB
Developer Guide
Openstack Gyan is the Machine Learning Infra as a service project. This document provides the following
- How to setup openstack with Gyan using devstack
- Describes the workflow in the Gyan
- How to run the example application provided in the Gyan examples directory
How to setup Gyan
- Clone the devstack master branch
git clone https://github.com/openstack-dev/devstack
- Copy the contents below to local.conf in devstack
[[local|localrc]] HOST_IP=192.168.1.188 SERVICE_HOST=192.168.1.188 DATABASE_PASSWORD=password RABBIT_PASSWORD=password SERVICE_TOKEN=password SERVICE_PASSWORD=password ADMIN_PASSWORD=password enable_service rabbit mysql key enable_plugin gyan https://git.openstack.org/openstack/gyan enable_plugin heat https://git.openstack.org/openstack/heat LIBS_FROM_GIT="python-gyanclient" ENABLED_SERVICES+=gyan-api
- Run stack.sh
./stack.sh
Workflow of Gyan:
- Create hints.yaml to specify the size of the compute node. For example
python_version: 2.7 cpu: 2 memory: 1024 Mb disk: 20 Gb driver: TensorflowDriver additional_details: {}
- After that create the flavor using hints template
gyan flavor-create --hints-path flavor.yaml tensorflow
- Compress your ML model that is already trained and create a Gyan model
gyan create-model --trained-model model.zip --type Tensorflow MNIST
- Deploy model that was created in the previous step.
gyan deploy-model <model-id>
- The above command will launch the compute node based on the flavor details we gave in the first step. Once the compute node is launched, the gyan-compute will be installed and connected to gyan-server.
- We should get new host in
gyan host-list
. - In the last step you should see the deployed url of the model. We can find out using
gyan model-list
How to use run sample example KnowThyNumber provided with Gyan:
- Make sure you have installed golang in your system and set the GOROOT and GOPATH properly.
- Copy the KnowThyNumber example from
gyan/examples
toGOPATH/src/github.com/<user-id>/KnowThyNumber
- Now run
go run server.go
. This will start local server on9000
port. - We got deployed_url in the previous section. Get the openstack token using
openstack token issue
. - Open the browser and navigate to
http://localhost:9000
. Provide thedeployed_url
andtoken
in the app. Now you can draw any number in the canvas and use your model to predict it.